Predictive Analytics World for Healthcare 2021
May 24-28, 2021
Dean Abbott is Co-Founder and Chief Data Scientist of Smarter Remarketer, Inc., and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.
He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).
Dean Abbott is speaking in the following session:
Academic: Industrial Engineer, 20 years in Operations + IT, Master Degree in IT & Management, Artificial Intelligence Diploma.Professional: 7 years at Industrial Engineering Nestlé based in Switzerland, 10 years - CIO at international broker GVP, 3 years - Corp. Director Industrial Performance Unilever in Zurich, Switzerland, 3 years - Assistant Professor, Santiago, UTFSM, 3 years as General Manager, at Foresta.io
Benjamin Arias-Gálvez is speaking in the following session:
SAS Senior Data Scientist.
Robert is a Senior Data Scientist at SAS where he builds end-to-end artificial intelligence applications. He also researches, consults, and teaches machine learning with an emphasis on deep learning and computer vision for SAS. Robert has authored a book on computer vision and has developed several professional courses on topics including neural networks, deep learning, and optimization modeling. Before joining SAS, Robert worked under the Senior Vice Provost at North Carolina State University, where he built models pertaining to student success, faculty development, and resource management. Robert also started a private analytics company while working at North Carolina State University that focused on predicting future home sales. Prior to working in academia, Robert was a member of the research and development group on the Workforce Optimization team at Travelers Insurance. His models at Travelers focused on forecasting and optimizing resources. Robert graduated with a master’s degree in Business Analytics and Project Management from the University of Connecticut and a master’s degree in Applied and Resource Economics from East Carolina University.
Robert Blanchard is speaking in the following session:
Chief Operating Officer
Jeff Deal is the Chief Operating Officer for Elder Research, the nation's leading data science, machine learning, and artificial intelligence consultancy. He has also been the Chair of the Predictive Analytics World for Healthcare conference since its inception in 2014. In his role at Elder Research, Jeff oversees the operations of the business including contracting, finances, regulatory/legal issues and human resources. Jeff has worked with dozens of clients to understand their business needs and organizational goals and, in the process, has gained insight into organizational obstacles to successful data analytics engagements. His talk on the Top 10 Data Mining Business Mistakes has been well received at prior Predictive Analytics World conferences. In 2016, Jeff and the Elder Research President & CEO, Gerhard Pilcher, published, Mining Your Own Business: A Primer for Executives on Understanding and Employing Data Mining and Predictive Analytics.
Jeff has more than 30 years of experience in business operations, planning, and government relations, primarily in the health care industry. Prior to ERI, he was the president of a health planning consulting business that assisted hospitals and physicians with operational analysis, forecasting, and navigating through complex regulatory processes. Before that, Jeff spent 16 years in hospital administration with responsibility for clinical, support, and planning functions. Jeff has a Master of Health Administration degree from Virginia Commonwealth University and an undergraduate degree from the College of William and Mary.
Jeff Deal is speaking in the following session:
Jeff Deal is moderator of the following session:
John Elder Ph.D.
Founder & Chair
John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.
John Elder Ph.D. is speaking in the following session:
Director, Advanced Analytics
Chris is currently the Direct of Advanced Analytics at OSF Healthcare where he leads a team of data scientists and statisticians who create and deploy industry leading advanced analytics solutions. He has more than 12 years of experience working in healthcare and holds a MS in Predictive Analytics from Northwestern University, where he focused on advanced modeling techniques and predictive text mining.
Chris Franciskovich is speaking in the following session:
Chief Medical Officer
Dr. Gudesblatt, the medical director of the Comprehensive MS Care Center at South Shore Neurologic Associates, P.C., graduated from Johns Hopkins University in 1976 and from Cornell University Medical College in 1980. His postgraduate training included a medical internship and neurologic residency at Mount Sinai Hospital, where he was the Chief Resident, as well as a Clinical Research Fellow in Neuromuscular Disease through the National Institute of Health. Dr. Gudesblatt is certified by the American Board of Psychiatry and Neurology in the specialty of Neurology, is a diplomate in the American Academy of Pain Management, and has had additional training in Neuro-Rehabilitation. Dr. Gudesblatt has authored articles appearing in professional literature on numerous topics, including movement disorders, tumors of the brain and spinal cord, neurologic complications of pregnancy, stroke, familial inheritance of neurologic illness and multiple sclerosis. He also participates in clinical research at South Shore Neurologic, involving MS and other neurologic diseases.
Mark Gudesblatt is speaking in the following session:
Vladimir Iglovikov Ph.D.
Senior Computer Vision Engineer, Level5, Self-Driving Division
Vladimir Iglovikov Ph.D. is speaking in the following session:
Lead Data Scientist
Veysel is a Lead Data Scientist at John Snow Labs, improving the Spark NLP for Healthcare library and delivering hands-on projects in Healthcare and Life Science. He is a seasoned data scientist with a strong background in every aspect of data science including machine learning, artificial intelligence and big data with over ten years of experience. He’s also pursuing his PhD in ML at Leiden University, Netherlands and delivering graduate level lectures in ML and Distributed Data Processing. Veysel has broad consulting experience on Statistics, Data Science, Software Architecture, DevOps, Machine Learning and AI to several start-ups, bootcamps and companies around the globe. He also speaks at Data Science & AI events, conferences and workshops, and has delivered more than 30 talks at International as well as national conferences and meet-ups.
Veysel Kocaman is speaking in the following session:
Jorn op den Buijs
Jorn op den Buijs, PhD is a senior scientist at Philips Research, carrying out research on predictive analytics for the Aging and Caregiving business. In this role, he contributed to the launch of CareSage, a predictive analytics engine for the frail and elderly program of Philips Lifeline. Jorn op den Buijs has a Master's in Biomedical Engineering from the Eindhoven University of Technology and a PhD degree in Biomedical Engineering from the Mayo Clinic Graduate School, Rochester Minnesota. He is with Philips since 2011. Jorn op den Buijs is co-author of more than 20 peer-reviewed journal publications as well as various patent applications.
Jorn op den Buijs is speaking in the following session:
Founder and CEO
Arjun is the founder and CEO of Diabetes Digital Media. Arjun launched Diabetes.co.uk whilst in his first year of university in 2003 as a result of his grandfather’s quadruple heart bypass and diagnosis of type 2 diabetes. At that time, Diabetes.co.uk was the world’s first digital community for people with diabetes.
Now, Diabetes.co.uk is the world’s largest diabetes community and provider of evidence-based digital health interventions.
A self-confessed data geek, Arjun holds a first-class honours degree (MEng) in Computing and Artificial Intelligence from Imperial College, London. His award-winning Masters research demonstrated the benefits of intelligent web-based systems in improving user experiences through collaboration, machine learning and data mining.
Benefiting from a decade of experience in big data and affecting user outcomes, Arjun now leads the organisation's development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precise and personalized care to patients, health agencies and governments worldwide. The approach is redefining chronic disease and wellness, with over 250,000 people using a Diabetes.co.uk digital health intervention within the last 18 months.
Arjun Panesar is speaking in the following session:
Joe Perez Dr.
Senior Systems Analyst / Team Lead
With advanced degrees in computers and secondary education, along with several IT certifications, Dr. Perez brings more than 30 years of experience to the stage as an IT/higher ed professional. Having served as Business Intelligence Specialist at NC State University and currently serving as Senior Systems Analyst/Team Lead at the NC Department of Health & Human Services, Perez stays active in the IT community with more than 9000 LinkedIn followers. A highly-recommended & experienced speaker, data analytics/visualization expert, and specialist in efficiency/process improvement, he is indeed a much sought-after resource. When taking a break from work, Joe sings, plays the piano, composes songs, & has performed PSA's and voice-overs for schools & other organizations. "I’m a firm believer that if I’m not innovating, I’m stagnating," says Joe.
Joe Perez Dr. is speaking in the following session:
Director, Data Science & Transformational Analytics
Matt earned a MS in Physical Chemistry from the University of Rochester and a PGDip with distinction from DeMontfort University in Industrial Data Modeling. He began his career interfacing and automating instrumentation and sensors. When he joined General Electric 2004, he focused his career on applying the scientific method to analytics problems. Matt has applied data science to a varied array of fields including chemometrics, sustainability, industrial internet, and compliance.
Matthew Pietrzykowski is speaking in the following session:
Director of Market Development
An accomplished, well rounded professional with exceptional academic credentials, deep clinical and technical knowledge and experience in Medical Devices spanning business development, market development, strategy, predictive analytics, and engineering across several therapeutic areas. Maneesh has a proven track record of successful international product launches, strategic partnerships deals, and commercialization schemes with start ups and well established organizations. Business and clinical acumen fortified by an enriching, all engaging in-country emerging market experience. Currently engaged in the intersection of market development and predictive analytics.
Maneesh Shrivastav is speaking in the following session:
Mike Thurber is the Lead Data Scientist in Elder Research's Commercial Analytics Group working across multiple teams and industries – including finance, retail, energy, and telecom – to deliver information products that drive business value. Mike’s primary focus is healthcare and insurance, where his projects range from predicting extreme payouts on long-term care claims, and identifying healthcare provider fraud, to measuring the effect of Cesarean delivery on infant health. His expertise in collaboration, data exploration, predictive modeling and rigorous testing, and in remediating the selection bias common to analytic algorithms, creates confidence in the actions recommended by the analytic products of his team.
Mike earned a BS degree in Chemical Engineering from Brigham Young University and a Master's degree in Statistics from Virginia Commonwealth University. For the last four years, Mike has been teaching principles and best practices of predictive modeling to a broad audience of emerging data scientists.
Mike Thurber is speaking in the following session:
Principal, Data Analytics
Jaya Tripathi is a Principal Scientist and an advanced analytics expert in The MITRE Corporation’s Information Technology Technical Center.
She is the principal investigator in MITRE's effort to apply health IT concepts to address prescription drug misuse and abuse. She has been working in this domain for many years and has collaborated with law enforcement officials, physicians, policy makers, Board of Pharmacy, academicians and state and Federal partners.
She has been at MITRE for 14 years. Before joining MITRE, Ms. Tripathi worked at several multinational corporations, applying big data analytics on projects such as a customer retention forecasting pilot for a major telecommunications company, and the origin-and-destination revenue management, one of the most significant innovations in the airline industry. She holds master’s degrees in physics and computer science from the University of Texas.
Jaya Tripathi is speaking in the following session: